Must have

• kdb+

• Q

• q/KDB+

• Python

• PyKX

• Linux

• Unix

• UNIX/Linux

• trading systems

• GW

• RDB

• HDB

• TCP/IP

• UDP

• Data engineering

• KDB

• English (B2)

Nice to have

• Kubernetes

• Cloud

• Terraform

• Ansible

• Container

• CI/CD

Requirements description

• Expertise in KDB+/q with production systems: GW/RDB/HDB design, sym/partition strategies, attributes, asof/aj/uj, IPC patterns
• Strong skills in q/KDB+; working proficiency in Python/PyKX and ideally Java for integration services
• Solid Linux/UNIX fundamentals (networking, OS tuning) and familiarity with TCP/IP, UDP, Multicast; knowledge of FIX/OUCH/ITCH preferred
• Proven track record of profiling and optimizing for microsecond level latency (e.g., vectorization, batching, zero copy, mmap)
• Strong debugging and production incident response; experience with agile delivery
• Market knowledge is a plus: market microstructure, SORs, algo trading systems

Nice to have

• Containers/Kubernetes, CI/CD, cloud (AWS/Azure/GCP), secrets/entitlements, Terraform/Ansible

Offer description

GFT is hiring a Senior KDB Developer to join our client’s Global Markets Data & Analytics organization. You’ll design, build, and deploy time series systems powering pre trade, at trade, and post trade analytics across Equities, FX, and Rates. The role combines hands on q/KDB+ engineering with performance optimization and collaboration across Trading, Quant, and Platform teams.

You will lead end to end development of low latency market data capture and analytics services in KDB+/q, integrate with upstream market/exchange feeds and downstream trading analytics, and improve resiliency, latency, and throughput of GW/RDB/HDB tiers. You’ll be part of a global delivery team (GFT + client) operating in a fast paced, production critical environment.

Hybrid work mode from one of our locations — 2 days per week on-site (Łódź, Warsaw, Kraków, Poznań, or Wrocław).

However, we’re also open to candidates based outside these locations who prefer to work remotely.

Why join GFT?

You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.

Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.

We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.

You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.

We offer you:

• Hybrid work mode from one of our locations — 2 days per week on-site (Łódź, Warsaw, Kraków, Poznań, or Wrocław).

However, we’re also open to candidates based outside these locations who prefer to work remotely

• Working in a highly experienced and dedicated team
• Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• On-line training and certifications fit for career path
• Access to e-learning platform
• Mindgram - a holistic mental health and wellbeing platform
• Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
• Social events

Your responsibilities

1. Drive the design and development of real time market data and analytics services on KDB+/q (GW/RDB/HDB/tickerplant, pub/sub, CEP)
2. Own technical delivery: requirements, solution design, coding, testing, deployment, and production support in low latency environments
3. Collaborate with Traders, Quants, and Technology to deliver high performance analytics (asof joins, windowed analytics, intraday aggregations)
4. Optimize for latency and throughput (IPC, memory layout, partitioning, attributes, OS tuning, NUMA, hugepages)
5. Implement and harden ETL pipelines for tick capture and reference data enrichment; integrate with Kafka and streaming services where applicable
6. Contribute to coding standards, code reviews, and test automation for q/KDB+ (including PyKX integration points)

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